Trade-offs between growth and reproduction
Valentin JOURNÉ, Hendrik DAVI, Emily WALKER, Etienne KLEIN, François COURBET, Francois LEFÈVRE, Sylvie ODDOU-MURATORIO, Julien PAPAÏX
Example with a long-lived plant
PhD Student, INRA URFM, Avignon
Wed, 22 August
S-69 Evolutionary Physiology
Acknowledgements Funding:
Collaborators:
survival
growth
reproduction
Context
Physiological and
genetic constraints
survival
growth
reproduction
Context
Adapted from Cody 1966
Reznick, 1983
What is trade-off ?
survival
growth
reproduction
Context
Reznick, 1983
survival
growth
reproduction
Context
Adapted from Cody 1966
Reznick, 1983
Context
Reproduction
Growth
individual a
Reproduction
Growth
individual b
a
reproduction
growth b
(Reznick, 1985; Reznick et al., 2000; Roff, 2000)
How to measure trade-off between growth and
reproduction ?
Context
Reproduction
Growth
individual a
Reproduction
Growth
individual b
a
reproduction
growth
Difficulties to estimate resources … variation between years and individuals
b
<
>
Resources
Resources
Context
Resources = energy (Carbon, Nitrogen, Water...)
Stearns, 1989; Zera & Harshman, 2001 Biotic factors
(interaction)
Abiotic factors (climate...)
Need to integrate physiology
Context
Bayesian approach
Hierarchical model
Unobserved variables
Direct correlation estimation
Roff & Fairbairn, 2007; Worley et al., 2003
Resources = energy (Carbon, Nitrogen, Water...)
Stearns, 1989; Zera & Harshman, 2001 Biotic factors
(interaction)
Abiotic factors (climate...)
Material and Methods
●
The species :
Cedrus atlantica
●
Conifer
Material and Methods
Patterns of resource allocation during reproduction
Male
reproduction Female reproduction
Cones
initiation Pollination Female cone
Maturation
J F M A M J J A S O N D J F M A M J J A S O N D
Year n Year n+1
Material and Methods
Sault
Material and Methods
Sault
~ 100 km
*Boy ! A Marseillaise-style RICARD
Material and Methods
1200 stems/ha = high density
Plantation with two density populations
250 stems/ha = low density
Even aged populations !
Material and Methods
Observation during 4 years
Female cones quantity
high density low density
Material and Methods
Observation during 4 years
Female cones quantity Male pollen index
Material and Methods
Observation during 4 years
Growth increment
high density low density
Material and Methods
Observation during 4 years
Female cones quantity Male pollen index Growth increment
Reproduction Growth
Material and Methods
Year n Year n+1
Process
Material and Methods
Climate DBH
Tmean Precip Sizei
Growthi
Cones initiationi
Females cones survivali
Year n Year n+1
Process Resourcesi
+ δi
p 1- p
Material and Methods
Climate DBH
Tmean Precip Sizei
Growthi
Cones initiationi
Females cones survivali
Year n Year n+1
Process
Resourcesi Climate DBH
Tmean Precip Sizei
Resourcesi
+ δi + δi
p 1- p
Material and Methods
Climate DBH
Tmean Precip Sizei
Growthi
Cones initiationi
Females cones survivali
Year n Year n+1
Process
Data Growth
Incrementi
Male pollen indexi
Female conesi
Resourcesi Climate DBH
Tmean Precip Sizei
Resourcesi
+ δi + δi
p 1- p
Material and Methods
Climate DBH
Tmean Precip Sizei
Growthi
Cones initiationi
Females cones survivali
Year n Year n+1
Process
Data Growth
Incrementi
Male pollen indexi
Female conesi
Resourcesi Climate DBH
Tmean Precip Sizei
Resourcesi
+ δi + δi
p 1- p
Material and Methods
●
Growth
i,n= γ * Resources
i,n+ ε
1,i●
Cones Initiated
i,n= X
i,n* ( β
1* Resources
i,n+ ε
2,i)
●
Females cones survival
i,n= β
0+ β
2* Resources
i,n+ ε
3,iAllocation of resources to 3 energetic sinks
X: Probability to reproduce
ε
: Residual termMaterial and Methods
ε
1,iε
2,iε
3,i~
Multivariate Normal (0, Σ)σ1,1
σ2,2
σ3,3 σ2,3
σ1,3 σ1,2
... ...
...
ρx,y σx,yσx,x
*
σy,x=
Define correlation coefficient
Estimation of trade-off
Results
Effects of Climate and Size on resources
Size
Precipitation TemperatureResults
Resources vary among years and competition levels
high density low density
estimated observed
Results
Negative correlation between Growth and Cones initiated
●
Growth
i,n= γ * Resources
i,n+ ε
1,i●
Cones Initiated
i,n= X
i,n* ( β
1* Resources
i,n+ ε
2,i)
= -0.63
Prob[ρ1,2<0] = 0,95
ρ1,2
high low
ε
1,iε
2,iResults
Positive correlation between Growth and Female cones survival
●
Growth
i,n= γ * Resources
i,n+ ε
1,i●
Females cones survival
i,n= β
0+ β
2* Resources
i,n+ ε
3,i= 0.34
Prob[ρ1,3> 0] = 0,82
ρ1,3
high low
ε
1,iε
3,iResults
Negative correlation between Cones initiated and Female cones survival
●
Cones Initiated
i,n= X
i,n
* ( β
1
* Resources
i,n+ ε
2,i)
●
Females cones survival
i,n= β
0
+ β
2
* Resources
i,n+ ε
3,i= -0.84 Prob[ρ2,3< 0] = 1 ρ2,3
high low
ε
2,iε
3,iDiscussion
1) Clear trade-off between growth and reproduction at initial stage (negative correlation)
2) Positive variation of growth and cone survival (positive correlation)
3) Current year of reproduction impact future
reproduction (negative correlation)
Discussion
1) Clear trade-off between growth and reproduction at initial stage (negative correlation)
2) Positive variation of growth and cone survival (positive correlation)
3) Current year of reproduction impact future reproduction (negative correlation)
➢
Same trend for both populations: density did
not impact all three relations identified
Discussion
Several hypothesis exists (e.g. resource
matching, resources switching...)
(Kelly & Sork, 2002;Pearse et al, 2016)
growth
reproduction
Current reproduction Future
reproduction
Not only one hypothesis
Why trees produces variable quantities of seeds?
Discussion
➢
Evolution is needed to understand
ecological phenomenon : Why trees produces variable quantities of seeds ?
➢
Mechanistic approach for trade-off
investigation : a touch of physiology allows a
better understanding of evolution
Discussion
➢
Growth Increment drives the level of resources
➢
How to simulate resources?
➢
Integration of more physiological process?
Variation of resources : depending of climate,
tree size and density
Discussion
Comparison of resources estimated with an ecophysiological model
Dufrêne et al., 2005
- We combined physiology and evolution
- We found evidence for growth-reproduction trade-offs in trees
More information ?
@Valentin_Journe Valentin.journe@inra.fr
●
Initialized Males cones
i,t= Phenotypic gender
i,t* Initialized cones
i,t●
Notations convert into Multinomial observation
Supp
●
Initialized Males cones
i,t= Phenotypic gender
i,t* Initialized cones
i,t●
Notations convert into Multinomial observation
●